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Steady-state visual evoked potentials (SSVEPs) are widely used in the design of brain-computer interfaces (BCIs). A lot of effort has therefore been devoted to find a fast and reliable way to detect SSVEPs. We study the link between transient and steady-state VEPs and show that it is possible to predict the spectral content of a subject's SSVEPs by simulating trains of transient VEPs. This could lead to a better understanding of evoked potentials as well as to better performances of SSVEP-baseddoi:10.1109/embc.2014.6943684 pmid:25570052 dblp:conf/embc/GaumeVD14 fatcat:2f3iz4nvjbgbffapjooiuuoqni